Einblick co-founder and associate professor at MIT, Tim Kraska, joins Jon Krohn to discuss no-code collaboration tools for data science and uncovers the clever database and machine learning tricks under the hood of the visual data computing platform. In this episode you will learn:<ul>
<li>The inspiration behind Einblick [2:45]</li>
<li>Einblick's progressive approximation engine [6:43]</li>
<li>How no-code tools impact productivity [17:18]</li>
<li>The critical steps to become more data-driven as an organization [24:30]</li>
<li>How research universities like MIT support high-risk, long-term research [38:37]</li>
<li>How ML applied to databases enables them to be faster and more efficient [42:03]</li>
<li>How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 49:24]</li>
</ul> Additional materials: <a href="https://www.superdatascience.com/571">www.superdatascience.com/571</a>

Einblick co-founder and associate professor at MIT, Tim Kraska, joins Jon Krohn to discuss no-code collaboration tools for data science and uncovers the clever database and machine learning tricks under the hood of the visual data computing platform. In this episode you will learn: The inspiration behind Einblick [2:45] Einblick's progressive approximation engine [6:43] How no-code tools impact productivity [17:18] The critical steps to become more data-driven as an organization [24:30] How research universities like MIT support high-risk, long-term research [38:37] How ML applied to databases enables them to be faster and more efficient [42:03] How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 49:24] Additional materials: www.superdatascience.com/571

Einblick co-founder and associate professor at MIT, Tim Kraska, joins Jon Krohn to discuss no-code collaboration tools for data science and uncovers the clever database and machine learning tricks under the hood of the visual data computing platform. In this episode you will learn:<ul>
<li>The inspiration behind Einblick [2:45]</li>
<li>Einblick's progressive approximation engine [6:43]</li>
<li>How no-code tools impact productivity [17:18]</li>
<li>The critical steps to become more data-driven as an organization [24:30]</li>
<li>How research universities like MIT support high-risk, long-term research [38:37]</li>
<li>How ML applied to databases enables them to be faster and more efficient [42:03]</li>
<li>How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 49:24]</li>
</ul> Additional materials: <a href="https://www.superdatascience.com/571" rel="noopener noreferrer">www.superdatascience.com/571</a>

571: Collaborative, No-Code Machine Learning

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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Technology

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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571: Collaborative, No-Code Machine Learning

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